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| Collections: | |
| - Name: PIDNet | |
| License: Apache License 2.0 | |
| Metadata: | |
| Training Data: | |
| - Cityscapes | |
| Paper: | |
| Title: 'PIDNet: A Real-time Semantic Segmentation Network Inspired from PID Controller' | |
| URL: https://arxiv.org/pdf/2206.02066.pdf | |
| README: configs/pidnet/README.md | |
| Frameworks: | |
| - PyTorch | |
| Models: | |
| - Name: pidnet-s_2xb6-120k_1024x1024-cityscapes | |
| In Collection: PIDNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Cityscapes | |
| Metrics: | |
| mIoU: 78.74 | |
| mIoU(ms+flip): 80.87 | |
| Config: configs/pidnet/pidnet-s_2xb6-120k_1024x1024-cityscapes.py | |
| Metadata: | |
| Training Data: Cityscapes | |
| Batch Size: 12 | |
| Architecture: | |
| - PIDNet-S | |
| - PIDNet | |
| Training Resources: 2x A100 GPUS | |
| Memory (GB): 3.38 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pidnet/pidnet-s_2xb6-120k_1024x1024-cityscapes/pidnet-s_2xb6-120k_1024x1024-cityscapes_20230302_191700-bb8e3bcc.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pidnet/pidnet-s_2xb6-120k_1024x1024-cityscapes/pidnet-s_2xb6-120k_1024x1024-cityscapes_20230302_191700.json | |
| Paper: | |
| Title: 'PIDNet: A Real-time Semantic Segmentation Network Inspired from PID Controller' | |
| URL: https://arxiv.org/pdf/2206.02066.pdf | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/main/mmseg/models/backbones/pidnet.py | |
| Framework: PyTorch | |
| - Name: pidnet-m_2xb6-120k_1024x1024-cityscapes | |
| In Collection: PIDNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Cityscapes | |
| Metrics: | |
| mIoU: 80.22 | |
| mIoU(ms+flip): 82.05 | |
| Config: configs/pidnet/pidnet-m_2xb6-120k_1024x1024-cityscapes.py | |
| Metadata: | |
| Training Data: Cityscapes | |
| Batch Size: 12 | |
| Architecture: | |
| - PIDNet-M | |
| - PIDNet | |
| Training Resources: 2x A100 GPUS | |
| Memory (GB): 5.14 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pidnet/pidnet-m_2xb6-120k_1024x1024-cityscapes/pidnet-m_2xb6-120k_1024x1024-cityscapes_20230301_143452-f9bcdbf3.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pidnet/pidnet-m_2xb6-120k_1024x1024-cityscapes/pidnet-m_2xb6-120k_1024x1024-cityscapes_20230301_143452.json | |
| Paper: | |
| Title: 'PIDNet: A Real-time Semantic Segmentation Network Inspired from PID Controller' | |
| URL: https://arxiv.org/pdf/2206.02066.pdf | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/main/mmseg/models/backbones/pidnet.py | |
| Framework: PyTorch | |
| - Name: pidnet-l_2xb6-120k_1024x1024-cityscapes | |
| In Collection: PIDNet | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: Cityscapes | |
| Metrics: | |
| mIoU: 80.89 | |
| mIoU(ms+flip): 82.37 | |
| Config: configs/pidnet/pidnet-l_2xb6-120k_1024x1024-cityscapes.py | |
| Metadata: | |
| Training Data: Cityscapes | |
| Batch Size: 12 | |
| Architecture: | |
| - PIDNet-L | |
| - PIDNet | |
| Training Resources: 2x A100 GPUS | |
| Memory (GB): 5.83 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pidnet/pidnet-l_2xb6-120k_1024x1024-cityscapes/pidnet-l_2xb6-120k_1024x1024-cityscapes_20230303_114514-0783ca6b.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/pidnet/pidnet-l_2xb6-120k_1024x1024-cityscapes/pidnet-l_2xb6-120k_1024x1024-cityscapes_20230303_114514.json | |
| Paper: | |
| Title: 'PIDNet: A Real-time Semantic Segmentation Network Inspired from PID Controller' | |
| URL: https://arxiv.org/pdf/2206.02066.pdf | |
| Code: https://github.com/open-mmlab/mmsegmentation/blob/main/mmseg/models/backbones/pidnet.py | |
| Framework: PyTorch | |